Partial fingerprint recognition
AssigneeThe Hong Kong Polytechnic University
InventorsDavid Zhang, Qijun Zhao, Nan Luo, Guangming Lu
Life of this patent
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Abstract
A method for partial fingerprint recognition, the method comprising the steps of extracting features including ridge orientations, valley images, minutiae, and pores from at least two fingerprint fragments, aligning the fingerprint fragments, matching the pores and minutiae on the fingerprint fragments after applying estimated alignment transformation, calculating a final matching score based on a pore matching score and a minutiae matching score, identifying a person based on a result of the final matching score.
Claims10
A method for partial fingerprint recognition performed using a computer or a processor, the method comprising the steps of:
- extracting features including ridge orientations, valley images, minutiae, and pores from at least two fingerprint fragments;
- aligning the fingerprint fragments;
- matching the pores and minutiae on the fingerprint fragments after applying estimated alignment transformation;
- calculating a final matching score based on a pore matching score and a minutiae matching score;
- and
- identifying a person based on a result of the final matching score,
- wherein the extraction of the pores further comprising:
- dividing the fingerprint fragments into blocks;
- identifying two spatial filters for each of the blocks based on ridge frequencies in the block;
- using the spatial filters to generate block-wise image response;
- thresholding the block-wise image response and estimate a difference, which generates initial pore extraction results;
- and
- post-processing the initial pore extraction results to eliminate spurious pores.
A method for partial fingerprint recognition performed using a computer or a processor, the method comprising the steps of:
- extracting features including ridge orientations, valley images, minutiae, and pores from at least two fingerprint fragments;
- aligning the fingerprint fragments;
- matching the pores and minutiae on the fingerprint fragments after applying estimated alignment transformation;
- calculating a final matching score based on a pore matching score and a minutiae matching score;
- and
- identifying a person based on a result of the final matching, wherein the extraction of the pores further comprising:
- dividing fingerprint fragments into blocks and terminating partition from localized ridge-orientation inconsistency information in the block;
- defining a local model for each of the blocks which is used as a matched filter to filter the block;
- thresholding filtered outputs to obtain initial pore extraction results;
- and
- post-processing the initial pore extraction results to remove spurious pores.
Dependencies are inferred from the claim text.